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Model selection
Results: 1077

#	Item
741	APRSAF – 21 Tokyo , Japan, Nov 2014 Water Rocket Event Selection of team from Australia Closing date for entry: Fri 19th of September 2014, (end of term 3). VSSEC is the coordinating body for the selection of the Austr Add to Reading List Source URL: www.vssec.vic.edu.au Language: English - Date: 2014-08-05 23:16:28 Model rocketry Water rocket Rocket Space technology Transport Rocketry
742	Understanding predictive information criteria for Bayesian models∗ Andrew Gelman†, Jessica Hwang‡, and Aki Vehtari§ 14 Aug 2013 Abstract We review the Akaike, deviance, and Watanabe-Akaike information criteria fro Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2013-08-14 15:26:41 Machine learning Bayesian statistics Regression analysis Deviance information criterion Maximum likelihood Cross-validation Fisher information Akaike information criterion Bayesian information criterion Statistics Estimation theory Model selection
743	This PDF is a selection from an out-of-print volume from the National Bureau of Economic Research Volume Title: Exchange Rates and International Macroeconomics Volume Author/Editor: Jacob A. Frenkel, ed. Volume Publisher Add to Reading List Source URL: scholar.harvard.edu Language: English - Date: 2013-02-05 00:20:58 Economic model Variance Regression analysis Instrumental variable Endogeneity Covariance Ordinary least squares Statistics Econometrics Vector autoregression
744	Package ‘biglm’ July 2, 2014 Type Package Title bounded memory linear and generalized linear models Version[removed]Author Thomas Lumley Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 11:20:41 Akaike information criterion Regression analysis Deviance Null Constructor Statistics Model selection Econometrics
745	Minutes of the Canadian Society of Soil Science 1996 Annual General Meeting Location: Dates: Add to Reading List Source URL: csss.ca Language: English - Date: 2013-03-25 04:00:23 Akaike information criterion Model selection
746	Preferences with a social component Ben Klemens∗ March 3, 2005 Abstract I present a model of the simultaneous selection of goods or actions Add to Reading List Source URL: ben.klemens.org Language: English - Date: 2008-01-23 16:12:42 Normal distribution Statistics Equilibrium chemistry Problem solving Mathematical analysis General equilibrium theory Game theory Decision theory Nash equilibrium
747	Package ‘AICcmodavg’ October 17, 2014 Type Package Title Model Selection and Multimodel Inference Based on (Q)AIC(c) Version[removed]Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-10-17 13:51:55 Akaike information criterion Regression analysis Bayesian statistics Statistical inference AICC Aviation Industry Computer-Based Training Committee Generalized linear model Conceptual model Quasi-likelihood Statistics Statistical models Model selection
748	Collection and Document Language Models for Resource Selection Krisztian Balog University of Stavanger [removed] Abstract: This paper describes our participation Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2014-02-28 12:39:27 Search engine indexing Information science Information retrieval Language model
749	R in the Midst of Exploding Stars: Distributed, Time-Domain Transient Classification ? Thomas J. Fuchs1,2, , Michael Turmon1 , Matthew J. Graham2 , Ciro Donalek2 , Ashish Mahabal2 Andrew J. Drake2 , S. George Djorgovski2 Add to Reading List Source URL: user2014.stat.ucla.edu Language: English - Date: 2014-06-28 21:51:12 Feature selection Model selection Random forest California Institute of Technology Astronomy Machine learning Statistics Dimension reduction
750	DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition arXiv:1310.1531v1 [cs.CV] 6 Oct[removed]Jeff Donahue∗ , Yangqing Jia∗ , Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-10-07 20:25:05 Cross-validation Support vector machine Perceptual learning Statistics Model selection One-shot learning

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